5 papers
VidEoMT: Your ViT is Secretly Also a Video Segmentation Model
Narges Norouzi, Idil Esen Zulfikar, Niccolò Cavagnero +4
Existing online video segmentation models typically combine a per-frame segmenter with complex specialized tracking modules. While effective, these modules introduce significant ar…
Interactive4D: Interactive 4D LiDAR Segmentation
Ilya Fradlin, Idil Esen Zulfikar, Kadir Yilmaz +2
Interactive segmentation has an important role in facilitating the annotation process of future LiDAR datasets. Existing approaches sequentially segment individual objects at each…
Point-VOS: Pointing Up Video Object Segmentation
Idil Esen Zulfikar, Sabarinath Mahadevan, Paul Voigtlaender +1
Current state-of-the-art Video Object Segmentation (VOS) methods rely on dense per-object mask annotations both during training and testing. This requires time-consuming and costly…
4D-StOP: Panoptic Segmentation of 4D LiDAR using Spatio-temporal Object Proposal Generation and Aggregation
Lars Kreuzberg, Idil Esen Zulfikar, Sabarinath Mahadevan +2
In this work, we present a new paradigm, called 4D-StOP, to tackle the task of 4D Panoptic LiDAR Segmentation. 4D-StOP first generates spatio-temporal proposals using voting-based…
UnOVOST: Unsupervised Offline Video Object Segmentation and Tracking
Jonathon Luiten, Idil Esen Zulfikar, Bastian Leibe
We address Unsupervised Video Object Segmentation (UVOS), the task of automatically generating accurate pixel masks for salient objects in a video sequence and of tracking these ob…